441 machine-learning "https:" "https:" "https:" "https:" "https:" "The University of Edinburgh" research jobs in Singapore
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skills In-depth knowledge relevant to the project domain (including algorithms, systems, data structures, machine learning). Demonstrated capability to conduct innovative research. Ability to design and
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machine learning, computer vision, and medical image analysis, with publications in top-tier AI and medical image analysis conferences and journals, including CVPR, ICCV, ECCV, NeurIPS, MICCAI, TPAMI, TIP
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within a Research Infrastructure? No Offer Description As a University of Applied Learning, Singapore Institute of Technology (SIT) works closely with industry partners to develop applied research
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within a Research Infrastructure? No Offer Description As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be
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Responsibilities: Electrochemical process on interface phenomena Battery testing under different conditions Simulation of scaled up process. Interface with machine learning group on data base set up Battery safety
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middleware (e.g., ROS, MoveIt) and hardware integration. Knowledge of machine learning, reinforcement learning, or vision-language models for robotics is a plus. Hands-on experience with robotic arms (e.g
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intellectual hub and thought leader for research and teaching in international law. Further information about CIL is available at https://cil.nus.edu.sg/ CIL invites applications for the position of Senior
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and take ownership of work Interest in AI, machine learning, image/audio processing Where to apply Website https://www.timeshighereducation.com/unijobs/listing/408369/research-engineer-r… Requirements
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School graduates over a thousand students who are ready to take on great ambitions and challenges. For more details, please view: https://www.ntu.edu.sg/eee We are looking for a Research Fellow who can
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international collaborators across clinical, academic, and industry settings to develop privacy-preserving machine learning approaches, federated learning frameworks, and interpretable algorithms for multimodal